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This research describes the work aimed to develop medical noninvasive electrocardiogram (ECG) and electromyogram (EMG) electrode system for health monitoring and science technology application. Biometrics electric signal is the use of biologically unique features to make personal identification for individual's unique physical health condition. These electrical signals are used to control electronic...
Since the QRS complex in electrocardiogram signals is one of the most important tasks to describe the operation of heart, high accuracy detection for this complex should be considered. In this study one of the newest methods of QRS complex detection combined with several artifact sources reduction methods has been performed. QRS detection algorithm includes baseline drift removal, Butterworth filtering,...
Proximity of the collection sites of the heart muscle electrical activity (ECG) and the surface electromyographic signals (sEMG) with the volume conduction characteristics of the ECG through the torso are the most often reasons of contamination between the ECG and EMG signals. A lot of studies have quantified ECG removal techniques relative to an uncontaminated EMG signal (standard measured or criterion...
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